Sultan Aljahdali
YOU?
Author Swipe
View article: Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms
Machine Learning for Enhanced COPD Diagnosis: A Comparative Analysis of Classification Algorithms Open
Background: In the United States, chronic obstructive pulmonary disease (COPD) is a significant cause of mortality. As far as we know, it is a chronic, inflammatory lung condition that cuts off airflow to the lungs. Many symptoms have been…
View article: Comprehensive Evaluation of Machine Learning Techniques for Obstructive Sleep Apnea Detection
Comprehensive Evaluation of Machine Learning Techniques for Obstructive Sleep Apnea Detection Open
View article: 4D: A Real-Time Driver Drowsiness Detector Using Deep Learning
4D: A Real-Time Driver Drowsiness Detector Using Deep Learning Open
There are a variety of potential uses for the classification of eye conditions, including tiredness detection, psychological condition evaluation, etc. Because of its significance, many studies utilizing typical neural network algorithms h…
View article: Protocol-Specific and Sensor Network-Inherited Attack Detection in IoT Using Machine Learning
Protocol-Specific and Sensor Network-Inherited Attack Detection in IoT Using Machine Learning Open
For networks with limited resources, such as IoT-enabled smart homes, smart industrial equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy Networks (RPL) was developed. Additionally, a number of optimizations…
View article: Sentiment Analysis with Tweets Behaviour in Twitter Streaming API
Sentiment Analysis with Tweets Behaviour in Twitter Streaming API Open
Twitter is a radiant platform with a quick and effective technique to analyze users' perceptions of activities on social media. Many researchers and industry experts show their attention to Twitter sentiment analysis to recognize the stake…
View article: Healthcare Monitoring Using Ensemble Classifiers in Fog Computing Framework
Healthcare Monitoring Using Ensemble Classifiers in Fog Computing Framework Open
Nowadays, the cloud environment faces numerous issues like synchronizing information before the switch over the data migration. The requirement for a centralized internet of things (IoT)-based system has been restricted to some extent. Due…
View article: Machine-Learning-Based Approach for Virtual Machine Allocation and Migration
Machine-Learning-Based Approach for Virtual Machine Allocation and Migration Open
Due to its ability to supply reliable, robust and scalable computational power, cloud computing is becoming increasingly popular in industry, government, and academia. High-speed networks connect both virtual and real machines in cloud com…
View article: Robust sliding-Backstepping mode control of a wind system based on the DFIG generator
Robust sliding-Backstepping mode control of a wind system based on the DFIG generator Open
This paper presents a new contribution in the field of the optimization of the techniques of control of the wind systems and the improvement of the quality of energy produced in the grid. The Sliding Mode control technique gives quite inte…
View article: Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk
Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk Open
Heart failure is now widely spread throughout the world. Heart disease affects approximately 48% of the population. It is too expensive and also difficult to cure the disease. This research paper represents machine learning models to predi…
View article: Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method
Explainable AI in Diagnosing and Anticipating Leukemia Using Transfer Learning Method Open
White blood cells (WBCs) are blood cells that fight infections and diseases as a part of the immune system. They are also known as “defender cells.” But the imbalance in the number of WBCs in the blood can be hazardous. Leukemia is the mos…
View article: Intelligent conventional and proposed hybrid 5G detection techniques
Intelligent conventional and proposed hybrid 5G detection techniques Open
In recent years, Multiple Inputs and Multiple Outputs (MIMO) have gained significant attention due to their characteristics such as spectral gain, high throughput, and energy efficient. It is seen as one of the integral parts and backbone …
View article: Multi-Objective Optimization of Energy Aware Virtual Machine Placement in Cloud Data Center
Multi-Objective Optimization of Energy Aware Virtual Machine Placement in Cloud Data Center Open
Cloud computing enables cloud providers to outsource their Information Technology (IT) services from data centers in a pay-as-you-go model. However, Cloud infrastructure comprises virtualized physical resources that consume huge amount of …
View article: SVM and KNN Based CNN Architectures for Plant Classification
SVM and KNN Based CNN Architectures for Plant Classification Open
Automatic plant classification through plant leaf is a classical problem in Computer Vision. Plants classification is challenging due to the introduction of new species with a similar pattern and look-a-like. Many efforts are made to autom…
View article: MRMR Based Feature Vector Design for Efficient Citrus Disease Detection
MRMR Based Feature Vector Design for Efficient Citrus Disease Detection Open
In recent times, the images and videos have emerged as one of the most important information source depicting the real time scenarios. Digital images nowadays serve as input for many applications and replacing the manual methods due to the…
View article: PAPR Reduction Using Advanced Partial Transmission Scheme for 5G Waveforms
PAPR Reduction Using Advanced Partial Transmission Scheme for 5G Waveforms Open
The implementation of Peak Average to Power Ratio (PAPR) reduction technologies will play an important role in the regularization of Fifth Generation (5G) radio communication. PAPR reduction in the advanced waveform will be the key part of…
View article: Envisaging Employee Churn Using MCDM and Machine Learning
Envisaging Employee Churn Using MCDM and Machine Learning Open
Employee categorisation differentiates valuable employees as eighty per cent of profit comes from twenty per cent of employees. Also, retention of all employees is quite challenging and incur a cost. Previous studies have focused on employ…
View article: Design and Analysis of Commercially Viable Free-Space Optical Communication Link for Diverse Beam Divergence Profiles
Design and Analysis of Commercially Viable Free-Space Optical Communication Link for Diverse Beam Divergence Profiles Open
With an exponential increase in the use of smart devices and with increasing demand for high-speed data applications, the Radio Frequency and Microwave links will find themselves almost incapable of meeting this deficit. Free-space optical…
View article: IoT-EMS: An Internet of Things Based Environment Monitoring System in Volunteer Computing Environment
IoT-EMS: An Internet of Things Based Environment Monitoring System in Volunteer Computing Environment Open
Environment monitoring is an important area apart from environmental safety and pollution control. Such monitoring performed by the physical models of the atmosphere is unstable and inaccurate. Machine Learning (ML) techniques on the other…
View article: Cataract Disease Detection by Using Transfer Learning-Based Intelligent Methods
Cataract Disease Detection by Using Transfer Learning-Based Intelligent Methods Open
One of the most common visual disorders is cataracts, which people suffer from as they get older. The creation of a cloud on the lens of our eyes is known as a cataract. Blurred vision, faded colors, and difficulty seeing in strong light a…
View article: Research and Development of an IoT-Based Remote Asthma Patient Monitoring System
Research and Development of an IoT-Based Remote Asthma Patient Monitoring System Open
This paper presents the research and development of an Internet of Things- (IoT-) based remote health monitoring system for asthmatic patients. Asthma is an inflammatory disease. Asthma causes the lungs to swell and get narrower, making it…
View article: Classification of Parkinson Disease Based on Patient’s Voice Signal Using Machine Learning
Classification of Parkinson Disease Based on Patient’s Voice Signal Using Machine Learning Open
Parkinson’s disease (PD) is a nervous system disorder first described as a neurological condition in 1817. It is one of the more prevalent diseases in the elderly, and Alzheimer’s is the second most common neurodegenerative illness. It imp…
View article: Prediction of Covid-19 Based on Chest X-Ray Images Using Deep Learning with CNN
Prediction of Covid-19 Based on Chest X-Ray Images Using Deep Learning with CNN Open
The COVID-19 pandemic has caused trouble in people's daily lives and ruined several economies around the world, killing millions of people thus far. It is essential to screen the affected patients in a timely and cost-effective manner in o…
View article: On Soft Quantum B-Algebras and Fuzzy Soft Quantum B-Algebras
On Soft Quantum B-Algebras and Fuzzy Soft Quantum B-Algebras Open
This paper aims to make a combination between the quantum B-algebras (briefly, X - A s) and two interesting theories (e.g., soft set theory and fuzzy soft set theory). Firstly, we propose the novel notions of soft quantum B-algebras (b…
View article: A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare
A Monte Carlo Based COVID-19 Detection Framework for Smart Healthcare Open
COVID-19 is a novel coronavirus disease that has been declared as a global pandemic in 2019. It affects the whole world through person-to-person communication. This virus spreads by the droplets of coughs and sneezing, which are quickly fa…
View article: Optimization of PID Controller to Stabilize Quadcopter Movements Using Meta-Heuristic Search Algorithms
Optimization of PID Controller to Stabilize Quadcopter Movements Using Meta-Heuristic Search Algorithms Open
Quadrotor UAVs are one of the most preferred types of small unmanned aerial vehicles, due to their modest mechanical structure and propulsion precept. However, the complex non-linear dynamic behavior of the Proportional Integral Derivative…
View article: A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease
A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease Open
Alzheimer’s disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. Alzheimer’s is a degenerative brain disease with an unspecified cause and pathogenesis which primarily affects older…
View article: A Cost-Efficient Autonomous Air Defense System for National Security
A Cost-Efficient Autonomous Air Defense System for National Security Open
In a country, air defense systems are designed to reduce threats efficiently. An air defense system is a fundamental part of any country because it provides national security. This study presents an autonomous air defense system (AADS) dev…
View article: Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making
Some Complex Intuitionistic Uncertain Linguistic Heronian Mean Operators and Their Application in Multiattribute Group Decision Making Open
In this paper, a new decision-making algorithm has been presented in the context of a complex intuitionistic uncertain linguistic set (CIULS) environment. CIULS integrates the concept the complex of a intuitionistic fuzzy set (CIFS) and un…
View article: Some Similarity and Distance Measures between Complex Interval-Valued q-Rung Orthopair Fuzzy Sets Based on Cosine Function and their Applications
Some Similarity and Distance Measures between Complex Interval-Valued q-Rung Orthopair Fuzzy Sets Based on Cosine Function and their Applications Open
The purpose of this paper is to present a new method to solve the decision-making algorithm based on the cosine similarity and distance measures by utilizing the uncertain and vague information. A complex interval-valued q-rung orthopair f…
View article: FoG-Oriented Secure and Lightweight Data Aggregation in IoMT
FoG-Oriented Secure and Lightweight Data Aggregation in IoMT Open
Internet of Medical Things (IoMT) is becoming an essential part of remote health monitoring due to the evolution of medical wireless sensors and intelligent communication technologies. IoT-based healthcare applications are employed in the …